Triple

T17785422
Position Surface form Disambiguated ID Type / Status
Subject Hugo Boss Prize E444004 entity
Predicate hasAwarded P2391 FINISHED
Object Paul Chan
Paul Chan is a contemporary artist and writer known for his politically engaged multimedia works that explore themes of war, religion, and social justice.
E1288728 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Paul Chan | Statement: [Hugo Boss Prize, hasAwarded, Paul Chan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Chan
Context triple: [Hugo Boss Prize, hasAwarded, Paul Chan]
  • A. Phillip Chan
    Phillip Chan is a Hong Kong actor known for appearing in action and martial arts films, including collaborations with major stars of the territory’s cinema.
  • B. Paul Chun
    Paul Chun is a veteran Hong Kong actor known for his prolific film and television career, often portraying authoritative or paternal figures.
  • C. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • D. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • E. Peter Chung
    Peter Chung is an animator and director best known as the creator of the avant-garde science fiction animated series Æon Flux.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paul Chan
Triple: [Hugo Boss Prize, hasAwarded, Paul Chan]
Generated description
Paul Chan is a contemporary artist and writer known for his politically engaged multimedia works that explore themes of war, religion, and social justice.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paul Chan
Target entity description: Paul Chan is a contemporary artist and writer known for his politically engaged multimedia works that explore themes of war, religion, and social justice.
  • A. Phillip Chan
    Phillip Chan is a Hong Kong actor known for appearing in action and martial arts films, including collaborations with major stars of the territory’s cinema.
  • B. Paul Chun
    Paul Chun is a veteran Hong Kong actor known for his prolific film and television career, often portraying authoritative or paternal figures.
  • C. Ken Kao
    Ken Kao is an American film producer known for backing a range of independent and auteur-driven projects.
  • D. John Cheng
    John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
  • E. Peter Chung
    Peter Chung is an animator and director best known as the creator of the avant-garde science fiction animated series Æon Flux.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48792b1c48190836141cfc6656cdd completed April 19, 2026, 7:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02f833fe708190bccfe236aee94b2a completed May 12, 2026, 9:51 a.m.
NEDg Description generation batch_6a02fc2255008190834686f8dc9c33f9 completed May 12, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a02fce3a4488190a1efd6d335706edf completed May 12, 2026, 10:11 a.m.
Created at: April 10, 2026, 10:12 a.m.